58 results about "Ecosystem services" patented technology

The invention provides an ecological system service flow simulation and collaborative tradeoff relation quantification method based on a graph neural network, and relates to the technical field of ecological system service simulation and quantification. According to the method, the Huaihe River basin serves as a research area, firstly, a landscape is abstracted into a graph structure, ecological patches serve as nodes and are endowed with multi-dimensional features, ecological process flow paths serve as edges, and flow attributes are quantified; then, constructing a graph neural network model, and learning inherent rules of generation, flow and consumption of an ecological system service through training; and finally, realizing ecological system service, particularly dynamic simulation of supply service and adjustment service, and quantifying the collaborative tradeoff relation by adopting a multi-index fusion method. According to the method, the nonlinear correlation of the ecological process can be accurately captured, the flow simulation and relation quantification precision is improved, scientific support is provided for ecological planning and management of the Huaihe River basin, and compared with an InVEST model, the simulation error is reduced by 20%-30%, and the collaborative tradeoff recognition accuracy is improved by 15% or above.

The invention discloses an urban ecosystem service tradeoff and cooperative relationship analysis method and device. The method comprises the following steps: dividing a target region according to different spatial scales to obtain sample sets corresponding to the spatial scales respectively; acquiring basic geographic information data of the target area in different time periods; according to the basic geographic information data, calculating service evaluation results of each ecological system service in the target area and each sample in different time periods; according to a service evaluation result, calculating a pairwise trade-off cooperative relationship of each ecological system service under a plurality of spatial scales and time sequences; the samples are clustered according to the service evaluation results of the samples to obtain a plurality of service clusters, and the service clusters are used for representing overall tradeoff cooperation features of multiple ecological system services; and determining a management strategy of each ecological system service according to the pairwise trade-off cooperation relationship and the overall trade-off cooperation characteristics. According to the invention, tradeoff and collaboration characteristics of each ecological system service can be identified under multiple spatial scales and multiple time sequences.

The invention discloses a fishery water area ecosystem service value improvement evaluation method based on an INVEST model and a related device, and the method comprises the steps: collecting multi-layer vertical profile water quality data in real time through setting an underwater sensor matrix with adaptive profile adjustment capability; the method comprises the following steps: acquiring hyperspectral image data, multispectral and SAR data and fishery fishing and breeding data, and generating a standardized spatio-temporal data set; inputting the standardized spatio-temporal data set into an INVEST evaluation model to synthesize the standardized spatio-temporal data set into an ecological system service total value; simulating a dynamic evolution track of the service value of the ecological system; and performing global optimization on the dynamic evolution trajectory of the ecological system service value to obtain an ecological system service value improvement optimization strategy set. According to the method, an underwater sensor matrix with adaptive profile adjustment capability is created for the first time, intelligent tracking and continuous monitoring of a key vertical ecological layer of a water body are realized, an optimal measure combination is output by predicting a future service value evolution trajectory in a rolling manner, and a time sequence and space deployment map is implemented.

This invention provides a Bayesian-based method and apparatus for spatial trade-off and synergistic optimization of ecosystem services, relating to the fields of ecology and statistics. The invention acquires an ecological spatial database of a target area, uses ArcGIS software's netting and clipping tools to generate a grid layer of a specified size for the target area, obtaining a pixel set. Based on the ecological spatial database and pixel set, the blue carbon storage, biodiversity maintenance capacity, and coastal protection capacity of the target area are calculated, representing three ecosystem services. Furthermore, the coupling coordination degree is obtained to analyze the overall coordination level among ecosystem services. A Bayesian-based ecosystem service synergy prediction model is constructed using Netica software to identify key driving factors and output the probability distribution of corresponding nodes, simulating and analyzing potential synergistic impacts under different scenarios. This invention can accurately identify and clarify the trade-off and synergistic relationships of key ecosystem services such as coastal wetlands, achieving synergistic spatial optimization of ecosystem services.

The application provides a kind of urban ecological restoration priority order identification method, device and electronic equipment, the method comprises: obtaining the spatial distribution data of multiple ecosystem service indicators in different years in target urban area and carrying out standardization processing;According to the spatial distribution data of multiple ecosystem service indicators in different years after standardization processing, determine the ecosystem service cluster value ESB of each pixel corresponding to the preset grid scale in different years in target urban area;According to the ESB of each pixel in different years and impervious surface index value ISA, determine the ecological restoration target year period;For any target pixel, according to its ISA change rate in the ecological restoration target year period, and the ESB change rate of its neighborhood pixel in the ecological restoration target year period, determine its ecological restoration priority order. Prior area of urban ecological restoration area can be divided, improve the efficiency and economy of urban area ecological restoration.

The invention discloses a mining area ecological restoration effect evaluation method coupling ecosystem service value and carbon reserve, which comprises the following steps: step (1), carrying out localization adjustment on equivalent values of various land classes in combination with actual land utilization characteristics of a mining area; performing ecological system service value evaluation in the mining area ecological restoration process by adopting an equivalent factor method; step (2), adopting a carbon reserve module of the InVEST model to measure and calculate the carbon reserve of the mining area; and (3) on the basis of the results of the step (1) and the step (2), calculating a correlation coefficient between the carbon reserves and the ecosystem service value, measuring a tradeoff cooperative relationship between the ecosystem service value and the carbon reserves according to the positive, negative and absolute values of the correlation coefficient, and judging the significance of the tradeoff cooperative relationship between the ecosystem service value and the carbon reserves through T test. The method has the following beneficial effects that the limitation of single index analysis in traditional evaluation is broken through, and a new method is provided for scientifically quantifying comprehensive benefits of ecological restoration of the mining area and optimizing a restoration technology path.

The invention relates to the technical field of territorial space planning, in particular to an ecological management zoning method based on ecological system service supply and demand evolution. The method comprises the following steps: acquiring supply source data and demand sink data of ecological system service of a target area; acquiring space obstacle data of the target area; based on the supply source data and the demand sink data, identifying a pollination transmission path in the target area in combination with the space obstacle data; calculating the service flow intensity between the supply source and the demand sink according to the pollination transmission path, and generating a service flow intensity distribution map; and based on the service flow intensity distribution diagram, evaluating the supply and demand matching degree of the ecosystem service of the target area, and determining a supply and demand matching diagram. According to the method, the situation that the cut-off farmland is mistakenly judged as the high-matching area due to neglect of physical obstruction is fundamentally avoided, and the space credibility of an ecological management zoning result is remarkably improved.

The invention discloses a water area resource utilization grading and pricing method based on spatial heterogeneity correction. The method comprises the following steps: S1, evaluating the service value of a water area ecosystem; s2, determining a water area resource utilization standard price; s3, dividing water area space levels; and S4, correcting the water area resource utilization standard price. According to the method, the water area resource utilization standard price is determined by quantifying the influence of water area resource utilization on the ecological system service value, the hierarchical water area resource utilization coefficient reflecting spatial heterogeneity is introduced for spatial correction, and finally the water area resource utilization hierarchical guidance price is formed. According to the method, a complete technical process from ecological system service value profit and loss quantification to space differentiation pricing is constructed, the water area resource utilization grading guidance price is determined, the technical blank in the field is filled, a scientific basis is provided for a water area resource management decision, and the economic benefit of the water area resource management decision is improved. The method has good operability, acceptability and popularization and application prospects, and ecological protection and sustainable utilization of water resources can be promoted.

The application discloses a natural ecosystem authenticity determination method and device, relates to the technical field of ecological evaluation, and comprises the following steps: acquiring land use data of a research area, and calculating an ecological structure authenticity index; identifying a natural reference area based on ecological environment zoning and the ecological structure authenticity index; acquiring ecosystem service data, and calculating an ecological process authenticity index and an ecological function authenticity index based on the natural reference area; acquiring species distribution data, and calculating a biological and indicator species authenticity index; acquiring human activity data, and calculating a human disturbance intensity index; and finally, normalizing and weightedly fusing the indexes to obtain a natural ecosystem authenticity comprehensive index. The application solves the problems of single dimension, neglect of regional natural benchmark differences and lack of a multi-factor comprehensive framework of the existing evaluation method, and significantly improves the scientific nature of natural reserve management.

The invention discloses an ecological system service multifunctional evaluation and spatial partition optimization method, and belongs to the field of ecological system services, and the method comprises the steps: obtaining spatial distribution data of a predetermined type of ecological system service in a research region, and carrying out the standardization processing; calculating a comprehensive service score representing the overall service supply level of the ecological system based on the standardized data; obtaining numerical discrete features between predetermined ecological system services, and calculating a trade-off strength index representing the imbalance degree between the services based on the numerical discrete features; determining a trade-off penalty coefficient, and reducing the comprehensive service score by using a denominator penalty term including the trade-off penalty coefficient and a trade-off strength index to obtain an ecological system service multifunctional index; and carrying out spatial partitioning on the research area. According to the method, the coupling evaluation of the total service amount and the balance is realized, and the problems that the service structure imbalance cannot be quantitatively described and the spatial heterogeneity cannot be ignored in a traditional method are effectively solved.

The invention discloses an ecological compensation method based on ecological system service value space circulation, and belongs to the technical field of ecological system service value space circulation and ecological compensation research. The method comprises the steps of ecosystem service value circulation evaluation with water as a medium, ecosystem service value circulation evaluation with air as a medium, ecosystem service value circulation total amount calculation and cross-regional transverse ecological compensation quota accounting. Based on an ecological system service value accounting result, a watershed hydrological model and an atmospheric environment quality model are introduced, a spatial circulation technical method system of the ecological system service value is established, and according to an ecological compensation theory framework, accurate quantification of spatial circulation of the ecological system service value and regional transverse ecological compensation is realized. According to the method, the subjectivity and fuzziness of a traditional compensation standard are effectively overcome, the landing problem that who benefits and who compensates is solved, and reliable technical support is provided for formulation and implementation of a transverse ecological compensation mechanism.

The application relates to a renewable energy site selection method considering ecological service value and belongs to the technical field of renewable energy site selection. The application considers the ecosystem influence of energy deployment, and proposes a renewable energy site selection method which comprehensively considers energy supply potential, economic, social, technical cost and ecosystem influence, and the method comprises the following steps: collecting basic data, processing obtained geographic information data; screening ecosystem service types, and determining various indexes involved in site selection; setting a limiting factor, and removing unfeasible patches in a region to be selected; calculating traditional index values and ecosystem service value related index values; determining the index weight by using an analytic hierarchy process; and quantitatively evaluating site selection suitability to obtain a renewable energy suitability distribution map. Therefore, the economic, social, technical and ecological comprehensive benefits of renewable energy site selection are optimized.

The invention relates to a vegetation damage identification and ecological evaluation method for a power transmission and transformation construction area. The method comprises the following steps: data preparation and preprocessing; identifying a vegetation damaged area; optimizing and verifying a result; ecological system service value loss evaluation; and ecological restoration suggestion generation: fusing the vegetation damage degree and the spatial distribution information of the ecological system service value loss, carrying out restoration priority partitioning, providing differentiated ecological restoration measures for different partitions, and outputting a partition ecological restoration planning map and an evaluation report. Through ecological system service value evaluation, quantification of ecological economic loss is realized, and a scientific basis is provided for power transmission and transformation project ecological supervision and restoration.

This invention discloses a method for assessing ecosystem service losses due to regional climate change. The region includes counties, cities, or important ecological function zones. The steps are as follows: S1. Collect remote sensing data and preprocess the data through band combination, geometric correction, and projection transformation. Select a standard color composite scheme, establish interpretation markers, and perform visual interpretation. S2. Calculate and statistically analyze the unit area yield value and equivalent factor of grain crops. The equivalent factor is 1 / 7 of the average market value of grain in the current year. S3. Statistically analyze land use types, calculate the magnitude of land use change, reflecting the changes in the total amount of different land use types and the overall trend of land use type changes. S4. Select vegetation cover as an indicator, and adjust the ecosystem service value based on two parameters: net primary productivity and vegetation cover. This invention is of great significance for formulating ecosystem management strategies under the background of future climate change.

The invention provides a configuration optimization system and method for a water and soil conservation type protection forest, and relates to the technical field of protection forest configuration, and the system comprises an information collection module which is used for obtaining multi-source data of a target area; the information matching module is used for screening a candidate tree species set; the grid generation module is used for dividing a region into a plurality of evaluation unit grids with geographic attributes; the configuration strategy generation module is used for generating an initial configuration scheme; the strategy optimization module is used for constructing a water and soil conservation benefit evaluation model and generating a recommendation configuration scheme with optimal comprehensive benefits; and the man-machine interaction module is used for finely adjusting and confirming the recommended configuration scheme. According to the invention, through multi-module cooperation and intelligent analysis, the improvement of protection forest configuration from extensive experience decision making to scientific and accurate planning is realized, the scientificity, high efficiency and sustainability of protection forest construction are significantly improved, and a powerful decision support tool is provided for the synergistic interaction of water and soil loss treatment and ecological system service functions.

The invention relates to the technical field of ecological system service, in particular to an ecological system service threshold effect identification method. The method comprises the following steps: performing grid division on a research area, calculating an ecological system service index value of a basic space unit, and selecting a driving factor main variable of the basic space unit; clustering the basic space unit into an ecological layering unit, introducing a local adaptive bandwidth control mechanism, and performing local fitting on a mutation relationship between the normalized ecological system service index value and the normalized driving factor main variable to obtain an ecological system service threshold value of the ecological layering unit; and constructing an ecosystem service threshold data set of the basic space unit, calculating a response offset factor of the basic space unit, and performing spatial correction on an ecosystem service threshold of the basic space unit. The problems that a traditional ecological system service threshold effect recognition method is insufficient in spatial heterogeneity processing, rigid in bandwidth setting, sensitive to local abnormal interference and poor in spatial consistency are solved.

The present application relates to a kind of railway corridor biodiversity value evaluation method and evaluation device, the method comprises: the habitat quality data of target railway corridor collected in advance and landscape pattern data are input to the model constructed in advance, the ecological value index of the railway corridor is output;Based on the social value type and evaluation rule constructed in advance, the social value index of the target railway corridor is calculated;The ecological value index and the social value index are weighted by the analytic hierarchy process constructed in advance, and the ecological value index and the social value index are superimposed according to the weight calculation, to determine the biodiversity value comprehensive evaluation index of the target railway corridor.This method is obtained by combining geographic information software, landscape pattern model, ecosystem service and the comprehensive evaluation model of trade-off multiple models or tools, and the research evaluation index is comprehensive, improves the accuracy and real of railway corridor biodiversity value, and the practicality is high.

This invention discloses a comprehensive ecological risk early warning method and system, belonging to the field of urban ecological planning. The method includes: obtaining land use raster sequences based on multi-scenario land use simulation; assessing ecosystem service supply capacity and ecological exposure intensity; identifying service degradation indices and co-degradation event variables; performing nonlinear threshold diagnosis based on co-degradation events and candidate driving factors to obtain a robust threshold set; constructing threshold crossing ratios based on robust thresholds; and fusing the service degradation index, ecological exposure intensity, and threshold crossing ratios to obtain a comprehensive ecological risk early warning index and outputting it in a tiered manner. This invention realizes the transformation of risk from static grading to process-oriented early warning, explicitly extracts the nonlinear thresholds of key driving factors, and directly translates the early warning results into early warning levels, control boundaries, and differentiated governance strategies, providing a unified technical solution for urban ecological risk prevention and control and land space governance.

The invention relates to the technical field of ecological breeding, in particular to a freshwater shrimp and crab multi-nutrition hierarchy system aquatic plant dynamic crop rotation method based on intelligent regulation and control, and solves the problems that during ecological breeding of freshwater shrimps and crabs, management is extensive and depends on experience, plant configuration and crop rotation mainly depend on artificial experience, and the survival rate is low. The dynamic change of water quality and the real-time requirements of shrimps and crabs cannot be accurately responded, so that the breeding income is low. Comprising the following steps: S1, building an aquatic plant function database and a dynamic rotation knowledge base; s2, deploying a sensor network in the breeding area, and monitoring water quality parameters in the range of the breeding area in real time. According to the system, a cooperative system composed of an intelligent control center, a sensor network and an ecological execution module is constructed, accurate management and dynamic adjustment of aquatic plant communities are achieved, the service function of the ecological system always keeps optimal matching with the breeding requirement, and therefore the breeding income is increased.

The invention discloses an intelligent identification method for a service trade-off cooperative relationship of a high and cold ecosystem, and the method comprises the steps: obtaining original multi-source heterogeneous data, and carrying out the preprocessing of the data, and obtaining a spatio-temporal data set; constructing a meta training task set based on the spatio-temporal data set so as to train a meta learner, generating corresponding optimal model parameters through the trained meta learner according to a future climate-land utilization scene, inputting the optimal model parameters into a corresponding model for chain simulation, and outputting future multi-time-sequence ecosystem service supply spatial distribution data; according to the space-time diagram convolution network model, obtaining a relation intensity space distribution diagram and further identifying a trade-off cooperative relation, generating a space activation thermodynamic diagram through a gradient weighting class activation mapping technology, and after the space activation thermodynamic diagram is fused with the relation intensity space distribution diagram, determining a key area space distribution diagram according to a quantitative decision rule. And performing rule matching in combination with the ecological management knowledge base, and determining a differentiated ecological management scheme. According to the invention, the recognition accuracy and efficiency can be improved.

The invention provides an ecological system service simulation method and system based on spatial gradient analysis, and belongs to the technical field of ecological system service evaluation. The method comprises the following steps: determining service supply units and non-supply units of a target ecosystem service type, and executing spatial gradient analysis for each supply unit to determine a service supply area of the supply unit; in the service supply area, for each supply grid, determining a non-supply grid of the nearest ecosystem service as a reference unit; the value of the environmental parameter of the reference unit serves as a background value, the difference between the actual value of the environmental parameter supplied to the grid and the background value is calculated, and the supply quantity of the ecological system service is obtained. According to the scheme, empirical parameters and complex early-stage data preparation are not needed, required data can be obtained from an open channel, and the net service supply quantity of the ecological system is accurately reflected and the simulation accuracy is improved by quantifying the service supply range, searching the nearest reference unit and stripping the background climate effect of a local area.

This invention discloses a method and system for determining the optimized scope of ecological protection red lines, comprising: acquiring the assessment results of dominant ecosystem services for each spatial scale unit within a target area at different spatial scales; acquiring landscape pattern index data for each spatial scale unit within the target area at different spatial scales; analyzing the driving force of landscape pattern indices on dominant ecosystem services at different spatial scales to determine the optimized spatial scale; identifying abrupt change points in landscape pattern indices and determining landscape pattern index thresholds based on the changing trends of dominant ecosystem services with landscape pattern indices at the optimized spatial scale; and identifying spatial scale units within the target area that do not meet the landscape pattern index threshold requirements, wherein the ecological protection red line area is the optimized scope. This invention determines the optimized scope of ecological protection red lines based on the dynamic coupling relationship between landscape pattern and ecosystem services, ensuring the scientific and rational nature of ecological protection red line optimization.

The invention discloses a comprehensive evaluation method for a service function of a forest vegetation ecosystem, and relates to the field of forest ecology, and the method comprises the steps: obtaining and preprocessing multi-source data of an evaluation region, and generating a standardized multi-source data cube; based on the standardized multi-source data cube, calculating the material quality of multiple ecological system service functions of each evaluation unit in the evaluation area, and generating an ecological system service function material quality data set; performing time sequence analysis on the ecosystem service function material quality data set, and calculating to obtain a service function toughness index of each evaluation unit for each ecosystem service function; and extracting each ecological system service function from the standardized multi-source data cube to form resource consumption data. According to the method, the conversion from static evaluation to sustainable comprehensive evaluation covering stability and efficiency is realized, and the problem that the long-term sustainability of an ecological system service function cannot be effectively quantified in the prior art is solved.

This application provides a spatial optimization method, apparatus, electronic device, and storage medium for the protection of carbon sinks and carbon-related ecosystem services. The method includes: determining carbon-related ecosystem services in the space to be planned based on the correlation between carbon sink values ​​and at least one ecosystem service; determining the distribution of carbon-sensitive risks in the space to be planned; acquiring the ecological characteristics of each cell in the space to be planned, including carbon sink values, values ​​of carbon-related ecosystem services, and values ​​of non-carbon-related ecosystem services; aggregating cells based on their ecological characteristics and the protection targets of preset planning characteristics; determining the carbon-sensitive risks of the aggregated spatial partitions based on the carbon-sensitive risk distribution; and determining the target spatial partitions of the space to be planned after spatial planning based on the carbon-sensitive risks. Therefore, this solution can improve the effectiveness of spatial planning by combining ecosystem services and carbon sink benefits.

This invention provides a method for quantifying the impact of the ecological barrier function of black soil farmland on grain yield, relating to the field of grain yield impact assessment technology. The method includes: acquiring geospatial data on climate, soil, hydrology, and land use of the target ecological region; determining the extent of the black soil farmland ecological barrier and calculating its five ecosystem service function values ​​(habitat quality, water conservation, soil retention, water purification, and carbon sequestration); generating an ecological barrier function comprehensive value (ESI) through normalization and equal-weighted overlay; calculating and normalizing the grain yield of black soil farmland using remote sensing data and the harvest index method; fitting the nonlinear relationship between ESI and grain yield based on multi-scale window random sampling; and determining the optimal ratio of ecological barrier grids, the minimum threshold for ecological function, and the saturation threshold for farmland ecological function through derivative analysis. This invention overcomes the challenge of quantification at the landscape or regional scale, providing precise evidence for black soil ecological restoration and food security decision-making.

The invention relates to an ecological protection priority area identification method and system based on multi-source data and space optimization, and the method comprises the steps: collecting and preprocessing multi-source space data in a target area, and generating a theme space data set; quantifying the ecosystem service in the target area, and obtaining a standardized magnitude spatial distribution map; combining the species distribution point location in the target area with the theme space data set, and simulating to generate a suitability space distribution diagram; fusing the standardized magnitude spatial distribution map and the suitability spatial distribution map to form a regional comprehensive protection value curved surface; and carrying out iterative calculation on the regional comprehensive protection value curved surface by adopting a space optimization algorithm to obtain an ecological protection space layout scheme, and delimiting different protection level priority ecological protection regions of the target region. According to the method, the accuracy, scientificity and operability of an ecological protection priority area identification delimiting process are greatly improved, and an efficient technical approach is provided for cooperative protection of biodiversity and ecological system service.

The invention relates to the technical field of ecological environment management and space planning, and particularly discloses a key ecological region identification method based on ecological system service evaluation with different spatial resolutions. The method comprises the following steps: constructing a multi-scale grid evaluation system, and carrying out quantitative calculation on the ecological system service of an evaluation region by utilizing an ecological system service and tradeoff comprehensive evaluation model to obtain each ecological system service quantity value; calculating the change trend and change significance of each ecological system service in the time range, and identifying an ecological toughness region; determining a service weight by adopting an entropy weight method, and calculating and classifying a comprehensive importance index; and finally, superposing the ecological toughness region and the importance region, and identifying a preferential protection and restoration region. The method solves the problem that ecological toughness, multi-scale effect and space connectivity are neglected in the prior art, and is suitable for ecological protection red line demarcation and differentiated ecological management.

The invention discloses a natural reserve planning report compiling method and system based on multi-source data, and relates to the technical field of ecological information, and the method comprises the steps: collecting the multi-source data to construct a natural reserve knowledge graph, and obtaining a natural reserve planning report based on historical multi-period remote sensing images; future land utilization pattern data of the adjacent areas of the natural reserve are obtained through prediction of the land utilization change model; inputting the structured knowledge graph into a graph neural network model, reasoning implicit ecological relationships, endowing each implicit ecological relationship with a confidence score, and forming an enhanced knowledge graph; and based on the enhanced knowledge graph, carrying out Monte Carlo simulation sampling on the confidence score of the implicit ecological relationship and future land utilization pattern data, and simulating ecological system service value changes in different existence scenes of the implicit ecological relationships under different land utilization change scenes. According to the invention, full-process intelligent decision support from data fusion and scene simulation to scheme optimization and risk early warning is realized.

The invention discloses an urban and rural landscape sustainable geographic design method based on random optimization and deep learning. According to the method, land utilization type data, geospatial data, environmental data and social economic data of a to-be-optimized area are utilized, four ecological system services including grain supply amount, carbon reserve, water conservation amount and culture service value are taken as optimization indexes, and calculation mode information of the indexes is input into an urban and rural landscape sustainable geographic framework; and predicting a high-probability change region through an artificial neural network model, performing iterative optimization on a current land utilization scheme by taking landscape sustainability as a target guide through a simulated annealing algorithm, and driving generation of an urban and rural landscape sustainability global optimal land utilization scheme. According to the method, a land utilization scheme with remarkable and better ecological indexes can be generated, multi-party benefit conflicts are efficiently coordinated, a flexible framework supports multi-target extension, and support can be provided for complex planning decision making.

The present application relates to a kind of ecological restoration priority area identification method, device and computer equipment.Wherein, the ecological restoration priority area identification method uses the importance result of multiple time points of ecosystem service, avoids the limitation of traditional static snapshot, significantly improves the technical limitation of traditional method in priority area identification accuracy and practical applicability.Meanwhile, by the spatial superposition of the importance of ecosystem service, the stability of ecosystem service and the determination result of ecological restoration suitability, generate ecological restoration priority area, avoid the evaluation deviation of single index, improve the scientificity and system of priority area selection.In addition, focus on " high value-low stability-low cost" area for repair resources, improve the unit area repair benefit.